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DW and MD images from various methods performed on prospective diffusion data. At the top are shown the b = 0 s/mm2 and average b = 1000 s/mm2 images from Raw, SoA, MCNN, standard partial Fourier, and CCNN methods. Rows 3 and 4 show results for mean diffusivity. The SoA method and both deep learning methods perform well without partial Fourier acceleration; however, at the 5/8ths partial Fourier factor, artifacts are present for all methods other than the CCNN method
